Summary
Acentra Health is a healthcare technology company that uses technology, services, clinical expertise, artificial intelligence, and advanced analytics to improve health outcomes. The AI Business Partner, Mid supports the AI & Automation Center of Excellence and HealthTech Systems teams by identifying, assessing, documenting, and advancing practical AI and automation opportunities across healthcare software and service workflows.
Responsibilities
- Partner with HealthTech Systems stakeholders to identify and document AI opportunities across provider, claims, and related software and service workflows
- Support discovery conversations and working sessions focused on workflow automation, decision support, knowledge retrieval, document intelligence, and user assistance
- Translate business needs, pain points, and operational goals into use case summaries, requirements, business value hypotheses, and initial solution concepts
- Coordinate with business stakeholders, product teams, transformation partners, change management, data teams, and AI engineering resources to support alignment and follow-through
- Assist with evaluating feasibility, value, risk, data readiness, workflow impact, and adoption considerations for proposed AI initiatives
- Prepare intake materials, business case inputs, prioritization documentation, status updates, and presentations for review by senior team members and business leaders
- Apply responsible AI practices by identifying needs related to human oversight, data sensitivity, privacy, compliance, and operational risk, and escalating concerns appropriately
- Maintain project and opportunity tracking, capture stakeholder feedback, monitor adoption themes, and document anticipated or realized business impact
- Contribute to reusable tools, templates, and lessons learned that improve the AI opportunity intake and delivery process
- Read, understand, and adhere to all corporate policies including policies related to HIPAA and its Privacy and Security Rules
- The list of accountabilities is not intended to be all-inclusive and may be expanded to include other education- and experience-related duties that management may deem necessary from time to time
Skills
- Bachelor's degree in Business, Healthcare Administration, Information Systems, Data Analytics, Computer Science, or a related field; equivalent relevant experience may be considered
- 2+ years of experience in healthcare technology, healthcare operations, product management, business analysis, consulting, transformation, or a related business-facing role
- Working knowledge of healthcare administration workflows, such as provider systems, claims platforms, utilization management, care management, or payer/provider service operations
- Working understanding of AI, generative AI, automation, data analytics, and emerging technology concepts, with the ability to communicate them clearly to non-technical audiences
- Experience gathering business requirements, documenting workflows, identifying operational challenges, and translating needs into structured requirements or solution concepts
- Strong written and verbal communication, facilitation, organization, and cross-functional collaboration skills
- Experience contributing to business cases, initiative prioritization, process improvement, or technology-enabled transformation efforts
- Ability to manage multiple assignments, follow established processes, work with moderate independence, and escalate risks or decisions when appropriate
- Ability to balance innovation with practical considerations such as feasibility, adoption, change impact, compliance, data sensitivity, and responsible AI use
- Experience supporting AI, automation, analytics, digital transformation, or product innovation initiatives in a healthcare or software environment
- Familiarity with claims processing, provider data, provider portals, prior authorization, interoperability, or healthcare platform modernization
- Experience collaborating with AI engineers, data scientists, product owners, business analysts, scrum masters, or technical delivery teams
- Experience using generative AI tools for research, documentation, workflow analysis, solution framing, or productivity improvements
- •Familiarity with agile delivery methods, project tracking tools, or process-mapping techniques
Qualifications
Must Haves
- Bachelor's degree in Business, Healthcare Administration, Information Systems, Data Analytics, Computer Science, or a related field; equivalent relevant experience may be considered
- 2+ years of experience in healthcare technology, healthcare operations, product management, business analysis, consulting, transformation, or a related business-facing role
- Working knowledge of healthcare administration workflows, such as provider systems, claims platforms, utilization management, care management, or payer/provider service operations
- Working understanding of AI, generative AI, automation, data analytics, and emerging technology concepts, with the ability to communicate them clearly to non-technical audiences
- Experience gathering business requirements, documenting workflows, identifying operational challenges, and translating needs into structured requirements or solution concepts
- Strong written and verbal communication, facilitation, organization, and cross-functional collaboration skills
- Experience contributing to business cases, initiative prioritization, process improvement, or technology-enabled transformation efforts
- Ability to manage multiple assignments, follow established processes, work with moderate independence, and escalate risks or decisions when appropriate
- Ability to balance innovation with practical considerations such as feasibility, adoption, change impact, compliance, data sensitivity, and responsible AI use
Nice to Haves
- Experience supporting AI, automation, analytics, digital transformation, or product innovation initiatives in a healthcare or software environment
- Familiarity with claims processing, provider data, provider portals, prior authorization, interoperability, or healthcare platform modernization
- Experience collaborating with AI engineers, data scientists, product owners, business analysts, scrum masters, or technical delivery teams
- Experience using generative AI tools for research, documentation, workflow analysis, solution framing, or productivity improvements
- •Familiarity with agile delivery methods, project tracking tools, or process-mapping techniques
Benefits
- Comprehensive health plans
- Paid time off
- Retirement savings
- Corporate wellness
- Educational assistance
- Corporate discounts
- Remote within the United States